]> 2026-09-08T18:49:40+09:00 Lesson:tiered memory management access latency is the key aaf24437 3000 ko NUMA-, CXL-, and heterogeneous-memory tiering with separate channels. Limits: Requires distinguishable tier traffic and reliable counters; evaluation uses NUMA as a tiered-memory proxy. Colloid estimates each tier's loaded latency from hardware counters and Little's Law, then moves pages to balance average access latency; it integrates with HeMem, TPP, and MEMTIS. S3ResearchAgent low Venue: SOSP. Year: 2024. Hot-page packing assumes fixed tier speed, but queueing can make a nominally fast tier slower as load rises. Verification: full_text; confidence=high. 2026-07-16T14:57:41Z 2461238.1233912 Tiered Memory Management: Access Latency is the Key!. SOSP 2024. The right placement objective is marginal loaded latency, not static media class or hotness alone. Tiered Memory Management: Access Latency is the Key! workloads=GUPS; real applications; static and time-varying loads; baselines=HeMem; TPP; MEMTIS; offline optimal; metrics=loaded access latency; application performance; distance from optimal; results=loaded latency up to 5x unloaded; prior managers 2.30–2.46x worse than optimal; Colloid near optimal Should tiered-memory placement optimize access frequency or the loaded latency each tier experiences under contention? lab Control placement with measured queueing-sensitive latency and balance load across tiers. Draft 2026-07-18T15:00:42Z 2461240.1254861 2026-07-18T15:00:42Z 2461240.1254861 tiered memory management access latency is the key aaf24437 3000 ev_dd5d6698e21745d0 2026-07-16T14:57:42Z 2461238.1234028 S3ResearchAgent Tiered Memory Management: Access Latency is the Key!. SOSP 2024. paper Bibliographic paper record. not_recorded tiered memory management access latency is the key aaf24437# 38d0af502bfa4e501b6cec5a78725831 3000 verified-content-v1-0087 2026-07-16T18:48:01Z 2461238.2833449 S3ResearchAgent Midhul Vuppalapati et al., "Tiered Memory Management: Access Latency is the Key!", SOSP 2024. paper Verification: full_text; confidence=high. Canonical title: Tiered Memory Management: Access Latency is the Key! Question: Should tiered-memory placement optimize access frequency or the loaded latency each tier experiences under contention? Context: Hot-page packing assumes fixed tier speed, but queueing can make a nominally fast tier slower as load rises. Method: Colloid estimates each tier's loaded latency from hardware counters and Little's Law, then moves pages to balance average access latency; it integrates with HeMem, TPP, and MEMTIS. Evaluation: workloads=GUPS; real applications; static and time-varying loads; baselines=HeMem; TPP; MEMTIS; offline optimal; metrics=loaded access latency; application performance; distance from optimal; results=loaded latency up to 5x unloaded; prior managers 2.30–2.46x worse than optimal; Colloid near optimal Interpretation: The right placement objective is marginal loaded latency, not static media class or hotness alone. Reusable lesson: Control placement with measured queueing-sensitive latency and balance load across tiers. Applicability: NUMA-, CXL-, and heterogeneous-memory tiering with separate channels. Limits: Requires distinguishable tier traffic and reliable counters; evaluation uses NUMA as a tiered-memory proxy. not_recorded tiered memory management access latency is the key aaf24437# 3a651f9371cfd15dd8f1aebf054c42f2 3000 canonical-paper-v2-aaf24437 2026-07-18T05:12:24Z 2461239.7169444 S3ResearchAgent Midhul Vuppalapati et al., "Tiered Memory Management: Access Latency is the Key!", SOSP 2024. paper Verification: full_text; confidence=high. Canonical title: Tiered Memory Management: Access Latency is the Key! Question: Should tiered-memory placement optimize access frequency or the loaded latency each tier experiences under contention? Context: Hot-page packing assumes fixed tier speed, but queueing can make a nominally fast tier slower as load rises. Method: Colloid estimates each tier's loaded latency from hardware counters and Little's Law, then moves pages to balance average access latency; it integrates with HeMem, TPP, and MEMTIS. Evaluation: workloads=GUPS; real applications; static and time-varying loads; baselines=HeMem; TPP; MEMTIS; offline optimal; metrics=loaded access latency; application performance; distance from optimal; results=loaded latency up to 5x unloaded; prior managers 2.30–2.46x worse than optimal; Colloid near optimal Interpretation: The right placement objective is marginal loaded latency, not static media class or hotness alone. Reusable lesson: Control placement with measured queueing-sensitive latency and balance load across tiers. Applicability: NUMA-, CXL-, and heterogeneous-memory tiering with separate channels. Limits: Requires distinguishable tier traffic and reliable counters; evaluation uses NUMA as a tiered-memory proxy. full_text tiered memory management access latency is the key aaf24437# f6840ee22415d5428a1b11648159c717 3000 2026-07-18T15:00:41Z 2461240.1254745 S3ResearchAgent verify_fd66b524c4060e3fe590 metadata_only context 보존 객체는 cookie/landing page이므로 서지 위치만 확인했고 본문 주장을 검증하지 못함. inconclusive 82985a9c18d49d3a0cbf9a41a7b326c4a8317e3f0dd188e71447c3eebb180089 R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=82985a9c18d49d3a0cbf9a41a7b326c4a8317e3f0dd188e71447c3eebb180089 보존 파일 objects/sha256/82/82985a9c18d49d3a0cbf9a41a7b326c4a8317e3f0dd188e71447c3eebb180089 ev_dd5d6698e21745d0 8a3b5f1ea623b3ca819d6527b361fd23a9e7ee1353c2aba8af938da5ec12fd3f tiered memory management access latency is the key aaf24437# 30218a3a3d2c1c8628a07d516b30850c 3000 2026-07-18T15:00:42Z 2461240.1254861 S3ResearchAgent verify_a7b7e4971794ef5c607b metadata_only context 보존 객체는 cookie/landing page이므로 서지 위치만 확인했고 본문 주장을 검증하지 못함. inconclusive 82985a9c18d49d3a0cbf9a41a7b326c4a8317e3f0dd188e71447c3eebb180089 R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=82985a9c18d49d3a0cbf9a41a7b326c4a8317e3f0dd188e71447c3eebb180089 보존 파일 objects/sha256/82/82985a9c18d49d3a0cbf9a41a7b326c4a8317e3f0dd188e71447c3eebb180089 verified-content-v1-0087 4a313ad4230305fbd4d5368801162904e96840914429b8c6265cf0d17f9d2b8c tiered memory management access latency is the key aaf24437# e4917c5526b374bcf6695bf991561bd7 3000 2026-07-18T15:00:42Z 2461240.1254861 S3ResearchAgent verify_eaeb494750b455db69d3 metadata_only context 보존 객체는 cookie/landing page이므로 서지 위치만 확인했고 본문 주장을 검증하지 못함. inconclusive 82985a9c18d49d3a0cbf9a41a7b326c4a8317e3f0dd188e71447c3eebb180089 R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=82985a9c18d49d3a0cbf9a41a7b326c4a8317e3f0dd188e71447c3eebb180089 보존 파일 objects/sha256/82/82985a9c18d49d3a0cbf9a41a7b326c4a8317e3f0dd188e71447c3eebb180089 canonical-paper-v2-aaf24437 28522622f675b09c6c654ac38a90293b71edeb15b47c7c1fef7b8d62110dbb30 tiered memory management access latency is the key aaf24437# 8750aa9fc17aa893fe323d76c04dbd4b 3000 2026-07-18T15:00:42Z 2461240.1254861 S3ResearchAgent verify_081f874fd0b158177d7c metadata_only observation,interpretation,reusable_lesson claim-bearing O/I/R coverage was not established; confidence forced to low inconclusive 82985a9c18d49d3a0cbf9a41a7b326c4a8317e3f0dd188e71447c3eebb180089 R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=82985a9c18d49d3a0cbf9a41a7b326c4a8317e3f0dd188e71447c3eebb180089; high-confidence adjudication ledger Saved HTML inspected in full; it is a cookie/landing/generic metadata page and contains no claim-bearing text covering O/I/R. canonical-paper-v2-aaf24437 28522622f675b09c6c654ac38a90293b71edeb15b47c7c1fef7b8d62110dbb30 tiered memory management access latency is the key aaf24437# 68745ab234759f6bdb861f6f8d4b20aa